scholarly journals A Distributed Intrusion Detection Scheme about Communication Optimization in Smart Grid

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yunfa Li ◽  
Qili Zhou
Keyword(s):  
Intrusion Detection ◽  
Smart Grid ◽  
Optimization Algorithm ◽  
Detection Algorithm ◽  
Communication Optimization ◽  
Detection Scheme ◽  
Efficient Communication ◽  
Distributed Intrusion Detection ◽  
Series Of Experiments ◽  
Grid Based

We first propose an efficient communication optimization algorithm in smart grid. Based on the optimization algorithm, we propose an intrusion detection algorithm to detect malicious data and possible cyberattacks. In this scheme, each node acts independently when it processes communication flows or cybersecurity threats. And neither special hardware nor nodes cooperation is needed. In order to justify the feasibility and the availability of this scheme, a series of experiments have been done. The results show that it is feasible and efficient to detect malicious data and possible cyberattacks with less computation and communication cost.

A Distributed Intrusion Detection Scheme for Cloud Computing

2020 ◽  
Vol 11 (1) ◽  
pp. 68-82
Author(s):  
Nurudeen Mahmud Ibrahim ◽  
Anazida Zainal
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Detection Algorithm ◽  
Change Point Detection ◽  
Stochastic Gradient Descent ◽  
Support Vector ◽  
Detection Accuracy ◽  
Detection Scheme ◽  
Distributed Intrusion Detection ◽  
Binary Segmentation

Intrusion detection systems (IDS) is an important security measure used to secure cloud resources, however, IDS often suffer from poor detection accuracy due to coordinated attacks such as a DDoS. Various research on distributed IDSs have been proposed to detect DDoS however, the limitations of these works the lack of technique to determine an appropriate period to share attack information among nodes in the distributed IDS. Therefore, this article proposes a distributed IDS that uses a binary segmentation change point detection algorithm to address the appropriate period to send attack information to nodes in distributed IDS and using parallel Stochastic Gradient Descent with Support Vector Machine (SGD-SVM) to achieve the distributed detection. The result of the proposed scheme was implemented in Apache Spark using NSL-KDD benchmark intrusion detection dataset. Experimental results show that the proposed distributed intrusion detection scheme outperforms existing distributed IDS for cloud computing.

Distributed intrusion detection scheme for next generation networks

2019 ◽  
Vol 147 ◽  
pp. 102422 ◽  
Author(s):  
Jamila Manan ◽  
Atiq Ahmed ◽  
Ihsan Ullah ◽  
Leïla Merghem-Boulahia ◽  
Dominique Gaïti
Keyword(s):  
Intrusion Detection ◽  
Next Generation Networks ◽  
Next Generation ◽  
Detection Scheme ◽  
Distributed Intrusion Detection
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